“An investment in knowledge always pays the best interest.”
— Benjamin Franklin
Healthcare organizations continually evolve and technology plays a significant part in this evolution. In Chapter 4, we shared details on technology that is available and being adopted by many healthcare institutions, as well as by other industries.
Up to now, you have read and learned what some of the latest technologies can do in the area of data management and analytics for healthcare. In-database and in-memory processing can be applied to analyze massive amounts of data quickly and efficiently. These technologies are complementary and can be augmented with the traditional process to optimize the data management and analytics processes. Organizations with Hadoop are integrating an existing data platform such as a database or data warehouse to analyze big data. In addition, open source technologies such as Python, R, and Spark are being adopted and implemented to augment analytics in healthcare. These innovative technologies enable insight-driven decisions improving healthcare for you and me today and in the future.
So, what's next in healthcare for data management and analytics? What are some focus areas in the next three to five years that will take healthcare management to the next level? How will healthcare advance into the next generation with data and analytics? Many of these questions will be answered in the next few sections.
Clouding computing ...